Convergence Rates for Stochastic Approximation: Biased Noise with Unbounded Variance, and Applications

Documenti analoghi

• Convergence of Batch Asynchronous Stochastic Approximation With Applications to Reinforcement Learning
  di: Karandikar, Rajeeva L., et al.
  Pubblicazione: (2021)
• Revisiting Stochastic Approximation and Stochastic Gradient Descent
  di: Karandikar, Rajeeva Laxman, et al.
  Pubblicazione: (2025)
• Gaussian Approximation and Multiplier Bootstrap for Stochastic Gradient Descent
  di: Sheshukova, Marina, et al.
  Pubblicazione: (2025)
• On the Rate of Gaussian Approximation for Linear Regression Problems
  di: Khusainov, Marat, et al.
  Pubblicazione: (2025)
• A geometric ensemble method for Bayesian inference
  di: Popov, Andrey A
  Pubblicazione: (2025)